2019 IEEE 19th International Symposium on Computational Intelligence and Informatics and 7th IEEE International Conference on R 2019
DOI: 10.1109/cinti-macro49179.2019.9105288
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Quantifying spectral peaks in theta and gamma brain oscillations detected from long term Local Field Potential (LFP) recordings in mice

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“…During every hour of recording, we determined the average values of the spectral peaks corresponding to the θ (5–12 Hz) and γ (30–120 Hz) oscillations. 63 This long-term approach revealed novel circadian variations in the hourly spectral peaks of the two oscillations that were out of phase with each other. As shown for representative SAL-injected (SAL; Fig.…”
Section: Resultsmentioning
confidence: 98%
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“…During every hour of recording, we determined the average values of the spectral peaks corresponding to the θ (5–12 Hz) and γ (30–120 Hz) oscillations. 63 This long-term approach revealed novel circadian variations in the hourly spectral peaks of the two oscillations that were out of phase with each other. As shown for representative SAL-injected (SAL; Fig.…”
Section: Resultsmentioning
confidence: 98%
“… 25 , 61 , 62 We have previously described a procedure to determine the true spectral peaks of the θ and γ oscillations. 63 Briefly, over the 12 h long raw LFP recording, we used an 8 s long sliding window in steps of 1 s (i.e. 7 s overlaps) to calculate the FFT in each of the 8 s segments.…”
Section: Methodsmentioning
confidence: 99%